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ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_32_64_0.01_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 148050 num_examples: 102 - name: test num_bytes: 1034730 num_examples: 653 download_size: 248336 dataset_size: 1182780 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_64_64_0.01_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 148050 num_examples: 102 - name: test num_bytes: 1034730 num_examples: 653 download_size: 248117 dataset_size: 1182780 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_64_32_0.05_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 148050 num_examples: 102 - name: test num_bytes: 1034730 num_examples: 653 download_size: 248170 dataset_size: 1182780 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_16_16_0.05_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 148050 num_examples: 102 - name: test num_bytes: 1034730 num_examples: 653 download_size: 248091 dataset_size: 1182780 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_32_32_0.01_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 148050 num_examples: 102 - name: test num_bytes: 1034730 num_examples: 653 download_size: 248227 dataset_size: 1182780 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_64_16_0.01_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 148050 num_examples: 102 - name: test num_bytes: 1034730 num_examples: 653 download_size: 248574 dataset_size: 1182780 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sl-revised_NoQuant_32_16_0.05_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 149854 num_examples: 101 - name: test num_bytes: 1063090 num_examples: 654 download_size: 242385 dataset_size: 1212944 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sl-revised_NoQuant_32_16_0.01_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 149854 num_examples: 101 - name: test num_bytes: 1063090 num_examples: 654 download_size: 242450 dataset_size: 1212944 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sl-revised_NoQuant_64_32_0.05_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 149854 num_examples: 101 - name: test num_bytes: 1063090 num_examples: 654 download_size: 241906 dataset_size: 1212944 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sl-revised_NoQuant_16_32_0.05_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 149854 num_examples: 101 - name: test num_bytes: 1063090 num_examples: 654 download_size: 241834 dataset_size: 1212944 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

Naozumi0512/g2p-Cantonese_zoengjyutgaai-saamgwokjinji

Naozumi0512

--- language: - yue pretty_name: "Cantonese (yue) G2P Dataset - zoengjyutgaai-saamgwokjinji" tags: - g2p license: cc0-1.0 task_categories: - text2text-generation --- # g2p Dataset (zoengjyutgaai-saamgwokjinji) - Cantonese (yue) ## Description The Cantonese (yue) language corpus for the G2P (Grapheme-to-Phoneme) task consists of 29,889 Cantonese sentences collected from [hon9kon9ize/zoengjyutgaai_saamgwokjinji_jyutping_crossValidated](https://huggingface.co/datasets/hon9kon9ize/zoengjyutgaai_saamgwokjinji_jyutping_crossValidated), which used [ToJyutping](https://github.com/CanCLID/ToJyutping) + [hon9kon9ize/wav2vec2bert-jyutping](https://huggingface.co/hon9kon9ize/wav2vec2bert-jyutping) for cross validation, aiming to reduce the error rate of Jyutping conversion. This dataset is formatted to align with the [CPP (Chinese Polyphones with Pinyin)](https://github.com/kakaobrain/g2pM?tab=readme-ov-file#the-cpp-dataset) structure, along with corresponding phonetic transcriptions for randomly selected polyphonic characters. ## Languages - Cantonese (yue) # File Descriptions *.sent: Contains words/sentences, with one polyphonic character wrapped by an ANCHOR_CHAR (▁) [Not underscore] per line. Only one polyphonic character is marked per sentence, distributed randomly for maximum coverage and even distribution. *.lb: Matches the .sent file, with each line containing the Jyutping transcription of the marked polyphonic character in .sent. *.pos: Matches the .sent file, with each line containing the POS tag of the marked polyphonic character in .sent, generated using `g2pW-Cantonese/scripts/tag_pos.py`. (See [original project](https://huggingface.co/datasets/Naozumi0512/g2p-Cantonese-aggregate#original-project)) ## Data Source - [hon9kon9ize/zoengjyutgaai_saamgwokjinji_jyutping_crossValidated](https://huggingface.co/datasets/hon9kon9ize/zoengjyutgaai_saamgwokjinji_jyutping_crossValidated) - [CanCLID/zoengjyutgaai_saamgwokjinji](https://huggingface.co/datasets/CanCLID/zoengjyutgaai_saamgwokjinji) ## Original Project https://github.com/Naozumi520/g2pW-Cantonese https://huggingface.co/Naozumi0512/g2pW-Cantonese ## License Follows the original source materials (CC0-1.0).

qklent/fandom_train

qklent

--- dataset_info: features: - name: title dtype: string - name: content dtype: string - name: id dtype: string - name: question dtype: string - name: answer dtype: string - name: no_shiza dtype: int64 - name: conversation list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 690080737 num_examples: 63084 download_size: 107298326 dataset_size: 690080737 configs: - config_name: default data_files: - split: train path: data/train-* ---

Xtest/function_dataset_with_ast_processed_dda22312d

Xtest

--- dataset_info: features: - name: function_all dtype: string - name: function_name dtype: string - name: function_body dtype: string - name: function_all_unknow dtype: string - name: ast struct: - name: children list: - name: children list: - name: children list: - name: children list: - name: children list: - name: children list: - name: children list: - name: children list: - name: children list: - name: children list: - name: children list: - name: children list: - name: children list: - name: children sequence: 'null' - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: string - name: line dtype: int64 - name: spelling dtype: string - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: string - name: line dtype: int64 - name: spelling dtype: string - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: string - name: line dtype: int64 - name: spelling dtype: string - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: string - name: line dtype: int64 - name: spelling dtype: string - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: string - name: line dtype: int64 - name: spelling dtype: string - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: string - name: line dtype: int64 - name: spelling dtype: string - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: string - name: line dtype: int64 - name: spelling dtype: string - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: string - name: line dtype: int64 - name: spelling dtype: string - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: string - name: line dtype: int64 - name: spelling dtype: string - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: string - name: line dtype: int64 - name: spelling dtype: string - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: string - name: line dtype: int64 - name: spelling dtype: string - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: string - name: line dtype: int64 - name: spelling dtype: string - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: string - name: line dtype: int64 - name: spelling dtype: string - name: kind dtype: string - name: location struct: - name: column dtype: int64 - name: file dtype: 'null' - name: line dtype: int64 - name: spelling dtype: string - name: Modified Code dtype: string - name: S-Expression of Original Code dtype: string - name: S-Expression of Modified Code dtype: string - name: AST Image Original dtype: string - name: AST Image Modified dtype: string - name: Root Node dtype: string splits: - name: train num_bytes: 695919 num_examples: 10 - name: test num_bytes: 871495 num_examples: 10 download_size: 539250 dataset_size: 1567414 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

DeliberatorArchiver/asmr-archive-data-meta

DeliberatorArchiver

--- license: agpl-3.0 tags: - not-for-all-audiences pretty_name: Metadata of ASMR Archive Dataset viewer: false ---

HieuBui1103/test2

HieuBui1103

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 423204 num_examples: 257 download_size: 228924 dataset_size: 423204 configs: - config_name: default data_files: - split: train path: data/train-* ---

alymoosa/hrba-tech-sample

alymoosa

--- language: - en tags: - human-rights pretty_name: HRBA@Tech Sample Dataset size_categories: - 1K<n<10K ---

rinabuoy/km-en-pairs-gg-validation

rinabuoy

--- dataset_info: features: - name: English dtype: string - name: Khmer dtype: string - name: Url dtype: string - name: Images dtype: image splits: - name: train num_bytes: 939832460.875 num_examples: 10417 download_size: 935344970 dataset_size: 939832460.875 configs: - config_name: default data_files: - split: train path: data/train-* ---

Noveled/minhwa_dataset_1126_01

Noveled

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 29247593.0 num_examples: 186 download_size: 28406548 dataset_size: 29247593.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

JJuny/llama2_DYD_train

JJuny

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 966783 num_examples: 219 download_size: 186893 dataset_size: 966783 configs: - config_name: default data_files: - split: train path: data/train-* ---

paolordls/crosslg-news-sm

paolordls

--- dataset_info: features: - name: text dtype: string - name: realfake dtype: string - name: article_id dtype: int64 - name: snippet_id dtype: int64 splits: - name: unlearn num_bytes: 340037 num_examples: 100 - name: train num_bytes: 4163786 num_examples: 1200 - name: forget num_bytes: 340037 num_examples: 100 - name: retain num_bytes: 350102 num_examples: 100 download_size: 4321770 dataset_size: 5193962 configs: - config_name: default data_files: - split: train path: data/train-* - split: unlearn path: data/unlearn-* - split: retain path: data/retain-* - split: forget path: data/forget-* ---

nada123456789/arabcorpus

nada123456789

--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: sentence dtype: string splits: - name: train num_bytes: 647264048.99 num_examples: 4805 download_size: 817087654 dataset_size: 647264048.99 configs: - config_name: default data_files: - split: train path: data/train-* ---

aysekaya/turkishTextToSql-ds

aysekaya

--- dataset_info: features: - name: question dtype: string - name: query dtype: string - name: translated_question dtype: string splits: - name: train num_bytes: 2650008.021509231 num_examples: 10042 - name: validation num_bytes: 294503.97849076893 num_examples: 1116 download_size: 1309095 dataset_size: 2944512.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

violetxi/NUMINA-V2-Clean-Blocks-1800_2000-0_5

violetxi

--- dataset_info: features: - name: problem dtype: string - name: source dtype: string - name: is_correct dtype: bool - name: target_answer dtype: string - name: solution dtype: string - name: solution_steps dtype: string - name: attempts dtype: string - name: model_answer dtype: string splits: - name: train num_bytes: 104951167 num_examples: 16016 download_size: 12412171 dataset_size: 104951167 configs: - config_name: default data_files: - split: train path: data/train-* ---

PromptEval/MMLU_multi_prompt

PromptEval

--- dataset_info: - config_name: abstract_algebra features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 11819133.08645492 num_examples: 10000 - name: validation num_bytes: 1305597.0698889615 num_examples: 1100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 729260 dataset_size: 13659335.24406318 - config_name: all features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 1659642668 num_examples: 1404200 - name: validation num_bytes: 181715374 num_examples: 153100 - name: dev num_bytes: 30472490 num_examples: 28500 download_size: 553300782 dataset_size: 1871830532 - config_name: anatomy features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 15955829.666714143 num_examples: 13500 - name: validation num_bytes: 1661668.9980404964 num_examples: 1400 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1720026 dataset_size: 18152103.75247394 - config_name: astronomy features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 17965082.291411478 num_examples: 15200 - name: validation num_bytes: 1899050.283474853 num_examples: 1600 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 2922938 dataset_size: 20398737.66260563 - config_name: business_ethics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 11819133.08645492 num_examples: 10000 - name: validation num_bytes: 1305597.0698889615 num_examples: 1100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1645467 dataset_size: 13659335.24406318 - config_name: clinical_knowledge features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 31320702.67910554 num_examples: 26500 - name: validation num_bytes: 3442028.638798171 num_examples: 2900 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 5051448 dataset_size: 35297336.40562301 - config_name: college_biology features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 17019551.644495085 num_examples: 14400 - name: validation num_bytes: 1899050.283474853 num_examples: 1600 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 3226800 dataset_size: 19453207.015689235 - config_name: college_chemistry features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 11819133.08645492 num_examples: 10000 - name: validation num_bytes: 949525.1417374265 num_examples: 800 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1190162 dataset_size: 13303263.315911645 - config_name: college_computer_science features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 11819133.08645492 num_examples: 10000 - name: validation num_bytes: 1305597.0698889615 num_examples: 1100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 2361491 dataset_size: 13659335.24406318 - config_name: college_mathematics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 11819133.08645492 num_examples: 10000 - name: validation num_bytes: 1305597.0698889615 num_examples: 1100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1178928 dataset_size: 13659335.24406318 - config_name: college_medicine features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 20447100.23956701 num_examples: 17300 - name: validation num_bytes: 2611194.139777923 num_examples: 2200 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 5048635 dataset_size: 23592899.46706423 - config_name: college_physics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 12055515.74818402 num_examples: 10200 - name: validation num_bytes: 1305597.0698889615 num_examples: 1100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1281734 dataset_size: 13895717.905792281 - config_name: computer_security features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 11819133.08645492 num_examples: 10000 - name: validation num_bytes: 1305597.0698889615 num_examples: 1100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1406786 dataset_size: 13659335.24406318 - config_name: conceptual_physics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 27774962.753169063 num_examples: 23500 - name: validation num_bytes: 3085956.7106466363 num_examples: 2600 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 2941668 dataset_size: 31395524.551535 - config_name: econometrics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 13473811.71855861 num_examples: 11400 - name: validation num_bytes: 1424287.7126061397 num_examples: 1200 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 2327556 dataset_size: 15432704.518884048 - config_name: electrical_engineering features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 17137742.975359634 num_examples: 14500 - name: validation num_bytes: 1899050.283474853 num_examples: 1600 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1464420 dataset_size: 19571398.346553784 - config_name: elementary_mathematics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 44676323.0667996 num_examples: 37800 - name: validation num_bytes: 4866316.351404311 num_examples: 4100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 5926211 dataset_size: 50077244.50592321 - config_name: formal_logic features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 14892107.688933201 num_examples: 12600 - name: validation num_bytes: 1661668.9980404964 num_examples: 1400 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1994844 dataset_size: 17088381.774692997 - config_name: global_facts features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 11819133.08645492 num_examples: 10000 - name: validation num_bytes: 1186906.427171783 num_examples: 1000 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 764525 dataset_size: 13540644.601346003 - config_name: high_school_biology features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 36639312.568010256 num_examples: 31000 - name: validation num_bytes: 3798100.566949706 num_examples: 3200 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 8328734 dataset_size: 40972018.22267926 - config_name: high_school_chemistry features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 23992840.16550349 num_examples: 20300 - name: validation num_bytes: 2611194.139777923 num_examples: 2200 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 3897286 dataset_size: 27138639.393000714 - config_name: high_school_computer_science features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 11819133.08645492 num_examples: 10000 - name: validation num_bytes: 1068215.7844546048 num_examples: 900 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 2408049 dataset_size: 13421953.958628824 - config_name: high_school_european_history features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 19501569.59265062 num_examples: 16500 - name: validation num_bytes: 2136431.5689092097 num_examples: 1800 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 17715798 dataset_size: 22172606.249279127 - config_name: high_school_geography features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 23401883.511180744 num_examples: 19800 - name: validation num_bytes: 2611194.139777923 num_examples: 2200 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 3087706 dataset_size: 26547682.738677964 - config_name: high_school_government_and_politics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 22810926.856857996 num_examples: 19300 - name: validation num_bytes: 2492503.4970607446 num_examples: 2100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 4629944 dataset_size: 25838035.44163804 - config_name: high_school_macroeconomics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 46094619.037174195 num_examples: 39000 - name: validation num_bytes: 5103697.636838667 num_examples: 4300 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 7983254 dataset_size: 51732921.76173216 - config_name: high_school_mathematics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 31911659.333428286 num_examples: 27000 - name: validation num_bytes: 3442028.638798171 num_examples: 2900 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 4401154 dataset_size: 35888293.059945755 - config_name: high_school_microeconomics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 28129536.745762713 num_examples: 23800 - name: validation num_bytes: 3085956.7106466363 num_examples: 2600 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 4706824 dataset_size: 31750098.54412865 - config_name: high_school_physics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 17846890.96054693 num_examples: 15100 - name: validation num_bytes: 2017740.9261920312 num_examples: 1700 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 3608243 dataset_size: 20399236.97445826 - config_name: high_school_psychology features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 64414275.32117932 num_examples: 54500 - name: validation num_bytes: 7121438.563030699 num_examples: 6000 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 15246419 dataset_size: 72070318.97192931 - config_name: high_school_statistics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 25529327.46674263 num_examples: 21600 - name: validation num_bytes: 2729884.7824951014 num_examples: 2300 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 7022028 dataset_size: 28793817.33695703 - config_name: high_school_us_history features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 24111031.49636804 num_examples: 20400 - name: validation num_bytes: 2611194.139777923 num_examples: 2200 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 19577410 dataset_size: 27256830.723865263 - config_name: high_school_world_history features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 28011345.41489816 num_examples: 23700 - name: validation num_bytes: 3085956.7106466363 num_examples: 2600 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 27212213 dataset_size: 31631907.213264097 - config_name: human_aging features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 26356666.782794476 num_examples: 22300 - name: validation num_bytes: 2729884.7824951014 num_examples: 2300 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 3605046 dataset_size: 29621156.653008875 - config_name: human_sexuality features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 15483064.343255946 num_examples: 13100 - name: validation num_bytes: 1424287.7126061397 num_examples: 1200 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1903728 dataset_size: 17441957.143581387 - config_name: international_law features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 14301151.034610454 num_examples: 12100 - name: validation num_bytes: 1542978.3553233182 num_examples: 1300 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 3023708 dataset_size: 16378734.477653071 - config_name: jurisprudence features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 12764663.733371316 num_examples: 10800 - name: validation num_bytes: 1305597.0698889615 num_examples: 1100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1849196 dataset_size: 14604865.890979577 - config_name: logical_fallacies features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 19265186.93092152 num_examples: 16300 - name: validation num_bytes: 2136431.5689092097 num_examples: 1800 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 2620950 dataset_size: 21936223.58755003 - config_name: machine_learning features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 13237429.056829512 num_examples: 11200 - name: validation num_bytes: 1305597.0698889615 num_examples: 1100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1633313 dataset_size: 15077631.214437772 - config_name: management features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 12173707.079048568 num_examples: 10300 - name: validation num_bytes: 1305597.0698889615 num_examples: 1100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 976276 dataset_size: 14013909.23665683 - config_name: marketing features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 27656771.422304515 num_examples: 23400 - name: validation num_bytes: 2967266.067929458 num_examples: 2500 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 4598909 dataset_size: 31158642.57795327 - config_name: medical_genetics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 11819133.08645492 num_examples: 10000 - name: validation num_bytes: 1305597.0698889615 num_examples: 1100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1063233 dataset_size: 13659335.24406318 - config_name: miscellaneous features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 92543812.06694204 num_examples: 78300 - name: validation num_bytes: 10207395.273677334 num_examples: 8600 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 18206816 dataset_size: 103285812.42833866 - config_name: moral_disputes features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 40894200.47913402 num_examples: 34600 - name: validation num_bytes: 4510244.423252776 num_examples: 3800 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 8385066 dataset_size: 45939049.9901061 - config_name: moral_scenarios features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 105781241.12377155 num_examples: 89500 - name: validation num_bytes: 11869064.271717831 num_examples: 10000 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 19226966 dataset_size: 118184910.48320867 - config_name: nutrition features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 36166547.24455206 num_examples: 30600 - name: validation num_bytes: 3916791.2096668845 num_examples: 3300 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 7068784 dataset_size: 40617943.541938245 - config_name: philosophy features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 36757503.898874804 num_examples: 31100 - name: validation num_bytes: 4035481.8523840625 num_examples: 3400 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 6368552 dataset_size: 41327590.838978164 - config_name: prehistory features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 38293991.200113945 num_examples: 32400 - name: validation num_bytes: 4154172.495101241 num_examples: 3500 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 7310008 dataset_size: 42982768.78293449 - config_name: professional_accounting features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 33329955.303802878 num_examples: 28200 - name: validation num_bytes: 3679409.9242325276 num_examples: 3100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 9180415 dataset_size: 37543970.315754704 - config_name: professional_law features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 181305501.54621848 num_examples: 153400 - name: validation num_bytes: 20177409.261920314 num_examples: 17000 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 217139577 dataset_size: 202017515.89585808 - config_name: professional_medicine features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 32148041.995157383 num_examples: 27200 - name: validation num_bytes: 3679409.9242325276 num_examples: 3100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 16264425 dataset_size: 36362057.00710921 - config_name: professional_psychology features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 72333094.48910412 num_examples: 61200 - name: validation num_bytes: 8189654.347485304 num_examples: 6900 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 22545987 dataset_size: 81057353.92430872 - config_name: public_relations features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 13001046.395100413 num_examples: 11000 - name: validation num_bytes: 1424287.7126061397 num_examples: 1200 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1570487 dataset_size: 14959939.195425851 - config_name: security_studies features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 28956876.061814558 num_examples: 24500 - name: validation num_bytes: 3204647.3533638143 num_examples: 2700 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 14596694 dataset_size: 32696128.502897672 - config_name: sociology features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 23756457.50377439 num_examples: 20100 - name: validation num_bytes: 2611194.139777923 num_examples: 2200 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 5100717 dataset_size: 26902256.73127161 - config_name: us_foreign_policy features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 11819133.08645492 num_examples: 10000 - name: validation num_bytes: 1305597.0698889615 num_examples: 1100 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1440368 dataset_size: 13659335.24406318 - config_name: virology features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 19619760.923515167 num_examples: 16600 - name: validation num_bytes: 2136431.5689092097 num_examples: 1800 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 2655284 dataset_size: 22290797.580143675 - config_name: world_religions features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: template dtype: string - name: template_id dtype: int64 - name: model_prompt dtype: string splits: - name: test num_bytes: 20210717.577837914 num_examples: 17100 - name: validation num_bytes: 2255122.211626388 num_examples: 1900 - name: dev num_bytes: 534605.0877192982 num_examples: 500 download_size: 1728407 dataset_size: 23000444.8771836 configs: - config_name: abstract_algebra data_files: - split: test path: abstract_algebra/test-* - split: validation path: abstract_algebra/validation-* - split: dev path: abstract_algebra/dev-* - config_name: all data_files: - split: test path: all/test-* - split: validation path: all/validation-* - split: dev path: all/dev-* - config_name: anatomy data_files: - split: test path: anatomy/test-* - split: validation path: anatomy/validation-* - split: dev path: anatomy/dev-* - config_name: astronomy data_files: - split: test path: astronomy/test-* - split: validation path: astronomy/validation-* - split: dev path: astronomy/dev-* - config_name: business_ethics data_files: - split: test path: business_ethics/test-* - split: validation path: business_ethics/validation-* - split: dev path: business_ethics/dev-* - config_name: clinical_knowledge data_files: - split: test path: clinical_knowledge/test-* - split: validation path: clinical_knowledge/validation-* - split: dev path: clinical_knowledge/dev-* - config_name: college_biology data_files: - split: test path: college_biology/test-* - split: validation path: college_biology/validation-* - split: dev path: college_biology/dev-* - config_name: college_chemistry data_files: - split: test path: college_chemistry/test-* - split: validation path: college_chemistry/validation-* - split: dev path: college_chemistry/dev-* - config_name: college_computer_science data_files: - split: test path: college_computer_science/test-* - split: validation path: college_computer_science/validation-* - split: dev path: college_computer_science/dev-* - config_name: college_mathematics data_files: - split: test path: college_mathematics/test-* - split: validation path: college_mathematics/validation-* - split: dev path: college_mathematics/dev-* - config_name: college_medicine data_files: - split: test path: college_medicine/test-* - split: validation path: college_medicine/validation-* - split: dev path: college_medicine/dev-* - config_name: college_physics data_files: - split: test path: college_physics/test-* - split: validation path: college_physics/validation-* - split: dev path: college_physics/dev-* - config_name: computer_security data_files: - split: test path: computer_security/test-* - split: validation path: computer_security/validation-* - split: dev path: computer_security/dev-* - config_name: conceptual_physics data_files: - split: test path: conceptual_physics/test-* - split: validation path: conceptual_physics/validation-* - split: dev path: conceptual_physics/dev-* - config_name: econometrics data_files: - split: test path: econometrics/test-* - split: validation path: econometrics/validation-* - split: dev path: econometrics/dev-* - config_name: electrical_engineering data_files: - split: test path: electrical_engineering/test-* - split: validation path: electrical_engineering/validation-* - split: dev path: electrical_engineering/dev-* - config_name: elementary_mathematics data_files: - split: test path: elementary_mathematics/test-* - split: validation path: elementary_mathematics/validation-* - split: dev path: elementary_mathematics/dev-* - config_name: formal_logic data_files: - split: test path: formal_logic/test-* - split: validation path: formal_logic/validation-* - split: dev path: formal_logic/dev-* - config_name: global_facts data_files: - split: test path: global_facts/test-* - split: validation path: global_facts/validation-* - split: dev path: global_facts/dev-* - config_name: high_school_biology data_files: - split: test path: high_school_biology/test-* - split: validation path: high_school_biology/validation-* - split: dev path: high_school_biology/dev-* - config_name: high_school_chemistry data_files: - split: test path: high_school_chemistry/test-* - split: validation path: high_school_chemistry/validation-* - split: dev path: high_school_chemistry/dev-* - config_name: high_school_computer_science data_files: - split: test path: high_school_computer_science/test-* - split: validation path: high_school_computer_science/validation-* - split: dev path: high_school_computer_science/dev-* - config_name: high_school_european_history data_files: - split: test path: high_school_european_history/test-* - split: validation path: high_school_european_history/validation-* - split: dev path: high_school_european_history/dev-* - config_name: high_school_geography data_files: - split: test path: high_school_geography/test-* - split: validation path: high_school_geography/validation-* - split: dev path: high_school_geography/dev-* - config_name: high_school_government_and_politics data_files: - split: test path: high_school_government_and_politics/test-* - split: validation path: high_school_government_and_politics/validation-* - split: dev path: high_school_government_and_politics/dev-* - config_name: high_school_macroeconomics data_files: - split: test path: high_school_macroeconomics/test-* - split: validation path: high_school_macroeconomics/validation-* - split: dev path: high_school_macroeconomics/dev-* - config_name: high_school_mathematics data_files: - split: test path: high_school_mathematics/test-* - split: validation path: high_school_mathematics/validation-* - split: dev path: high_school_mathematics/dev-* - config_name: high_school_microeconomics data_files: - split: test path: high_school_microeconomics/test-* - split: validation path: high_school_microeconomics/validation-* - split: dev path: high_school_microeconomics/dev-* - config_name: high_school_physics data_files: - split: test path: high_school_physics/test-* - split: validation path: high_school_physics/validation-* - split: dev path: high_school_physics/dev-* - config_name: high_school_psychology data_files: - split: test path: high_school_psychology/test-* - split: validation path: high_school_psychology/validation-* - split: dev path: high_school_psychology/dev-* - config_name: high_school_statistics data_files: - split: test path: high_school_statistics/test-* - split: validation path: high_school_statistics/validation-* - split: dev path: high_school_statistics/dev-* - config_name: high_school_us_history data_files: - split: test path: high_school_us_history/test-* - split: validation path: high_school_us_history/validation-* - split: dev path: high_school_us_history/dev-* - config_name: high_school_world_history data_files: - split: test path: high_school_world_history/test-* - split: validation path: high_school_world_history/validation-* - split: dev path: high_school_world_history/dev-* - config_name: human_aging data_files: - split: test path: human_aging/test-* - split: validation path: human_aging/validation-* - split: dev path: human_aging/dev-* - config_name: human_sexuality data_files: - split: test path: human_sexuality/test-* - split: validation path: human_sexuality/validation-* - split: dev path: human_sexuality/dev-* - config_name: international_law data_files: - split: test path: international_law/test-* - split: validation path: international_law/validation-* - split: dev path: international_law/dev-* - config_name: jurisprudence data_files: - split: test path: jurisprudence/test-* - split: validation path: jurisprudence/validation-* - split: dev path: jurisprudence/dev-* - config_name: logical_fallacies data_files: - split: test path: logical_fallacies/test-* - split: validation path: logical_fallacies/validation-* - split: dev path: logical_fallacies/dev-* - config_name: machine_learning data_files: - split: test path: machine_learning/test-* - split: validation path: machine_learning/validation-* - split: dev path: machine_learning/dev-* - config_name: management data_files: - split: test path: management/test-* - split: validation path: management/validation-* - split: dev path: management/dev-* - config_name: marketing data_files: - split: test path: marketing/test-* - split: validation path: marketing/validation-* - split: dev path: marketing/dev-* - config_name: medical_genetics data_files: - split: test path: medical_genetics/test-* - split: validation path: medical_genetics/validation-* - split: dev path: medical_genetics/dev-* - config_name: miscellaneous data_files: - split: test path: miscellaneous/test-* - split: validation path: miscellaneous/validation-* - split: dev path: miscellaneous/dev-* - config_name: moral_disputes data_files: - split: test path: moral_disputes/test-* - split: validation path: moral_disputes/validation-* - split: dev path: moral_disputes/dev-* - config_name: moral_scenarios data_files: - split: test path: moral_scenarios/test-* - split: validation path: moral_scenarios/validation-* - split: dev path: moral_scenarios/dev-* - config_name: nutrition data_files: - split: test path: nutrition/test-* - split: validation path: nutrition/validation-* - split: dev path: nutrition/dev-* - config_name: philosophy data_files: - split: test path: philosophy/test-* - split: validation path: philosophy/validation-* - split: dev path: philosophy/dev-* - config_name: prehistory data_files: - split: test path: prehistory/test-* - split: validation path: prehistory/validation-* - split: dev path: prehistory/dev-* - config_name: professional_accounting data_files: - split: test path: professional_accounting/test-* - split: validation path: professional_accounting/validation-* - split: dev path: professional_accounting/dev-* - config_name: professional_law data_files: - split: test path: professional_law/test-* - split: validation path: professional_law/validation-* - split: dev path: professional_law/dev-* - config_name: professional_medicine data_files: - split: test path: professional_medicine/test-* - split: validation path: professional_medicine/validation-* - split: dev path: professional_medicine/dev-* - config_name: professional_psychology data_files: - split: test path: professional_psychology/test-* - split: validation path: professional_psychology/validation-* - split: dev path: professional_psychology/dev-* - config_name: public_relations data_files: - split: test path: public_relations/test-* - split: validation path: public_relations/validation-* - split: dev path: public_relations/dev-* - config_name: security_studies data_files: - split: test path: security_studies/test-* - split: validation path: security_studies/validation-* - split: dev path: security_studies/dev-* - config_name: sociology data_files: - split: test path: sociology/test-* - split: validation path: sociology/validation-* - split: dev path: sociology/dev-* - config_name: us_foreign_policy data_files: - split: test path: us_foreign_policy/test-* - split: validation path: us_foreign_policy/validation-* - split: dev path: us_foreign_policy/dev-* - config_name: virology data_files: - split: test path: virology/test-* - split: validation path: virology/validation-* - split: dev path: virology/dev-* - config_name: world_religions data_files: - split: test path: world_religions/test-* - split: validation path: world_religions/validation-* - split: dev path: world_religions/dev-* ---

multi-domain-reasoning/mmlu_eval

multi-domain-reasoning

--- dataset_info: features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: input dtype: string - name: baseline_llama_1b dtype: string - name: reasoning_64_a128_mix_mmlu_csqa_gsm8k_even dtype: string - name: output_w_reasoning_llama_1b dtype: string splits: - name: validation num_bytes: 8436265 num_examples: 1531 download_size: 4177084 dataset_size: 8436265 configs: - config_name: default data_files: - split: validation path: data/validation-* ---

dalssy/data_del

dalssy

--- license: apache-2.0 task_categories: - text-classification language: - aa tags: - code pretty_name: dalssy size_categories: - n<1K dataset_info: features: - name: url dtype: string - name: repository_url dtype: string - name: labels_url dtype: string - name: comments_url dtype: string - name: events_url dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: number dtype: int64 - name: title dtype: string - name: user struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: user_view_type dtype: string - name: labels list: - name: color dtype: string - name: default dtype: bool - name: description dtype: string - name: id dtype: int64 - name: name dtype: string - name: node_id dtype: string - name: url dtype: string - name: state dtype: string - name: locked dtype: bool - name: assignee struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: float64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: user_view_type dtype: string - name: assignees list: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: user_view_type dtype: string - name: milestone struct: - name: closed_at dtype: 'null' - name: closed_issues dtype: float64 - name: created_at dtype: timestamp[us] - name: creator struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: float64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: user_view_type dtype: string - name: description dtype: string - name: due_on dtype: 'null' - name: html_url dtype: string - name: id dtype: float64 - name: labels_url dtype: string - name: node_id dtype: string - name: number dtype: float64 - name: open_issues dtype: float64 - name: state dtype: string - name: title dtype: string - name: updated_at dtype: timestamp[us] - name: url dtype: string - name: comments dtype: int64 - name: created_at dtype: timestamp[s] - name: updated_at dtype: timestamp[s] - name: closed_at dtype: timestamp[s] - name: author_association dtype: string - name: active_lock_reason dtype: 'null' - name: body dtype: string - name: closed_by struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: float64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: user_view_type dtype: string - name: reactions struct: - name: '+1' dtype: int64 - name: '-1' dtype: int64 - name: confused dtype: int64 - name: eyes dtype: int64 - name: heart dtype: int64 - name: hooray dtype: int64 - name: laugh dtype: int64 - name: rocket dtype: int64 - name: total_count dtype: int64 - name: url dtype: string - name: timeline_url dtype: string - name: performed_via_github_app dtype: 'null' - name: state_reason dtype: string - name: draft dtype: bool - name: pull_request struct: - name: diff_url dtype: string - name: html_url dtype: string - name: merged_at dtype: timestamp[us] - name: patch_url dtype: string - name: url dtype: string - name: is_pull_request dtype: bool - name: time_to_close dtype: float64 splits: - name: train num_bytes: 3853356 num_examples: 1000 download_size: 978111 dataset_size: 3853356 configs: - config_name: default data_files: - split: train path: data/train-* ---

reinashi/best_movie_adaptations

reinashi

--- license: mit --- # The Impact of Book-to-Movie Adaptations ## Executive Summary This dataset explores the relationship between literary works and their film/television adaptations, focusing on how adaptations influence the reception and appreciation of original works. The dataset contains information about books that have been adapted into films or TV shows, including their ratings, popularity metrics, and audience engagement data from Goodreads. Data Sourcing Code Repository: https://github.com/SSSSShi/Movie-Adaptations-Dataset ### Motivation The film and television industry's increasing focus on IP adaptations has created a need to understand how these adaptations affect the original literary works. This dataset aims to provide insights into: - The relationship between book popularity and adaptation success - Characteristics of successfully adapted literary works ### Potential Applications - Analysis of adaptation success factors - Prediction of potential successful adaptation candidates - Understanding audience reception patterns - Strategic decision-making for publishers and producers - IP valuation and marketing strategy development ## Data Description The dataset contains the following main fields: - `Name`: Title of the book - `Author`: Author of the book - `Avg Rating`: Average rating on Goodreads (scale 0-5) - `Rating Count`: Number of ratings received - `Score`: Goodreads list score - `Vote Count`: Number of votes received on the adaptation list ### Data Statistics ``` Total number of books: 434 Most books rate between: 3.57 - 4.39 stars Average rating: 3.99 ``` ## Previous Datasets Review Existing datasets in this domain include: 1. **IMDb Datasets** - Contains basic movie information - Lacks direct connection to source material - No book-specific metrics 2. **Goodreads Datasets** - Focus only on book metrics - No adaptation information - Limited to reading metrics 3. **MovieLens** - Movie ratings and metadata - No book adaptation information - Limited to viewer preferences Our dataset is novel in that it: - Combines both book and adaptation metrics - Enables direct analysis of adaptation impact ## Power Analysis The dataset includes 434 books with their adaptations, spanning various genres and time periods. This sample size provides sufficient statistical power for: - Correlation analysis between ratings and popularity metrics - Comparative analysis of pre/post adaptation reception ## Exploratory Data Analysis ### Key Findings: 1. **Rating Distribution** - Average ratings show a negatively skewed distribution - Most books rate between 3,57 and 4.39 stars 2. **Popularity Metrics** - Strong correlation between rating count and score (r = [correlation coefficient]) - Top rated books tend to have higher vote counts 3. **Most Popular Adaptations** - Top Books by Rating: 1. Harry Potter and the Deathly Hallows (Harry Potter, #7) by J.K. Rowling (Rating: 4.62) 2. Harry Potter and the Prisoner of Azkaban (Harry Potter, #3) by J.K. Rowling (Rating: 4.58) 3. Harry Potter and the Half-Blood Prince (Harry Potter, #6) by J.K. Rowling (Rating: 4.58) - Top Books by Popularity (Rating Count): 1. Harry Potter and the Sorcerer's Stone (Harry Potter, #1) by J.K. Rowling (10,508,696 ratings) 2. The Hunger Games (The Hunger Games, #1) by Suzanne Collins (9,043,765 ratings) 3. Twilight by Stephenie Meyer (6,825,359 ratings)  ## Code Repository The data collection and analysis code is available at [GitHub Repository Link]. The repository includes: - Web scraping scripts for Goodreads data collection - Data cleaning and preprocessing scripts - Exploratory data analysis and visualization ## Ethics Statement This dataset has been compiled with careful consideration of ethical implications: 1. **Data Collection**: All data was collected through public APIs and web scraping in compliance with Goodreads' terms of service. 2. **Privacy**: Only publicly available information has been included in the dataset. 3. **Bias Considerations**: - Language bias: Dataset primarily contains English-language books - Platform bias: Data is limited to Goodreads users' demographics 4. **Usage Guidelines**: This dataset should be used with awareness of these limitations and biases. ## License This dataset is released under the MIT License. You are free to: Copyright (c) 2024 Reina Shi Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

violetxi/NUMINA-V2-Clean-Blocks-1400_1600-39_45

violetxi

--- dataset_info: features: - name: problem dtype: string - name: source dtype: string - name: is_correct dtype: bool - name: target_answer dtype: string - name: solution dtype: string - name: solution_steps dtype: string - name: attempts dtype: string - name: model_answer dtype: string splits: - name: train num_bytes: 136613190 num_examples: 18912 download_size: 15385071 dataset_size: 136613190 configs: - config_name: default data_files: - split: train path: data/train-* ---

siqi00/llama3_gsm8k_0.6_0.9_256_vllm

siqi00

--- dataset_info: features: - name: real list: - name: content dtype: string - name: role dtype: string - name: generated_0 list: - name: content dtype: string - name: role dtype: string - name: generated_1 list: - name: content dtype: string - name: role dtype: string - name: generated_2 list: - name: content dtype: string - name: role dtype: string - name: generated_3 list: - name: content dtype: string - name: role dtype: string - name: generated_4 list: - name: content dtype: string - name: role dtype: string - name: generated_5 list: - name: content dtype: string - name: role dtype: string - name: generated_6 list: - name: content dtype: string - name: role dtype: string - name: generated_7 list: - name: content dtype: string - name: role dtype: string - name: generated_8 list: - name: content dtype: string - name: role dtype: string - name: generated_9 list: - name: content dtype: string - name: role dtype: string - name: generated_10 list: - name: content dtype: string - name: role dtype: string - name: generated_11 list: - name: content dtype: string - name: role dtype: string - name: generated_12 list: - name: content dtype: string - name: role dtype: string - name: generated_13 list: - name: content dtype: string - name: role dtype: string - name: generated_14 list: - name: content dtype: string - name: role dtype: string - name: generated_15 list: - name: content dtype: string - name: role dtype: string - name: generated_16 list: - name: content dtype: string - name: role dtype: string - name: generated_17 list: - name: content dtype: string - name: role dtype: string - name: generated_18 list: - name: content dtype: string - name: role dtype: string - name: generated_19 list: - name: content dtype: string - name: role dtype: string - name: generated_20 list: - name: content dtype: string - name: role dtype: string - name: generated_21 list: - name: content dtype: string - name: role dtype: string - name: generated_22 list: - name: content dtype: string - name: role dtype: string - name: generated_23 list: - name: content dtype: string - name: role dtype: string - name: generated_24 list: - name: content dtype: string - name: role dtype: string - name: generated_25 list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 86087693 num_examples: 7473 download_size: 41410163 dataset_size: 86087693 configs: - config_name: default data_files: - split: train path: data/train-* ---

Mango008/stemmed_recipes_with_reverse_index

Mango008

--- license: unknown configs: - config_name: default data_files: - split: train path: "recipes_stemmed.csv" - config_name: reverse_index data_files: - split: train path: "reverse_index.json" ---

geekyrakshit/prompt-injection-dataset

geekyrakshit

--- dataset_info: features: - name: prompt dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3349212 num_examples: 8782 - name: test num_bytes: 799143 num_examples: 2176 download_size: 2509966 dataset_size: 4148355 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* language: - en tags: - security pretty_name: Prompt Injection Classification --- Collected from the following datasets: - [deepset/prompt-injections](https://huggingface.co/datasets/deepset/prompt-injections) - [xTRam1/safe-guard-prompt-injection](https://huggingface.co/datasets/xTRam1/safe-guard-prompt-injection)

Skyler215/KTVIC_VILC

Skyler215

--- dataset_info: features: - name: img_new dtype: image - name: labels_new dtype: string splits: - name: train num_bytes: 23179569952.033 num_examples: 28557 - name: validation num_bytes: 6412559656.041 num_examples: 8389 - name: test num_bytes: 3515198396.205 num_examples: 3945 download_size: 30160469783 dataset_size: 33107328004.279 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

dhruvnathawani/claude-filter

dhruvnathawani

--- dataset_info: features: - name: difficulty dtype: string - name: difficulty_description dtype: string - name: topic dtype: string - name: context dtype: string - name: age_group dtype: string - name: question dtype: string - name: answer dtype: string - name: answer_with_tags dtype: string - name: validation dtype: string splits: - name: train num_bytes: 2925730 num_examples: 1000 download_size: 1181541 dataset_size: 2925730 configs: - config_name: default data_files: - split: train path: data/train-* ---

Asap7772/hh_length_persona_eval_4shot_llama-part1-of-1

Asap7772

--- dataset_info: features: - name: prompt dtype: string - name: responses sequence: string splits: - name: train num_bytes: 24524516 num_examples: 3352 download_size: 8156786 dataset_size: 24524516 configs: - config_name: default data_files: - split: train path: data/train-* ---

Asap7772/hh_length_eval_4shot_llama-part1-of-1

Asap7772

--- dataset_info: features: - name: prompt dtype: string - name: responses sequence: string splits: - name: train num_bytes: 24530085 num_examples: 3352 download_size: 8150941 dataset_size: 24530085 configs: - config_name: default data_files: - split: train path: data/train-* ---

noteuclaise/bluesky_1M_metaposts

noteuclaise

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 181468977.0 num_examples: 1530625 download_size: 136496769 dataset_size: 181468977.0 configs: - config_name: default data_files: - split: train path: data/train-* --- This is a dataset of Bluesky posts from users who discussed the original [Bluesky 1M posts dataset](https://huggingface.co/datasets/bluesky-community/one-million-bluesky-posts). It includes posts from users who have replied to, or quoted, any ot the following posts (as well as a couple other who responded to mine): - https://bsky.app/profile/danielvanstrien.bsky.social/post/3lbu6l4fxdc2e - https://bsky.app/profile/danielvanstrien.bsky.social/post/3lbvih4luvk23 - https://bsky.app/profile/chickenpuppet.bsky.social/post/3lbvbzl4abc25 To reduce risk of harassment, only the text of posts have been included, without the author usernames.

XShadow/EarthNets-GAMUS

XShadow

--- license: cc-by-4.0 ---

amuvarma/ultrachat-25k-audio-flattened-split

amuvarma

--- dataset_info: features: - name: id dtype: string - name: human1 dtype: string - name: assistant1 dtype: string - name: human2 dtype: string - name: assistant2 dtype: string - name: human3 dtype: string - name: assistant3 dtype: string - name: assistant_speech1 dtype: audio - name: assistant_speech2 dtype: audio - name: assistant_speech3 dtype: audio splits: - name: train_0 num_bytes: 2393936.0 num_examples: 318 - name: train_1 num_bytes: 2384284.0 num_examples: 318 - name: train_2 num_bytes: 2333743.0 num_examples: 318 - name: train_3 num_bytes: 2342817.0 num_examples: 318 - name: train_4 num_bytes: 2405455.0 num_examples: 318 - name: train_5 num_bytes: 2454315.0 num_examples: 318 - name: train_6 num_bytes: 2344196.0 num_examples: 318 - name: train_7 num_bytes: 2408316.0 num_examples: 318 - name: train_8 num_bytes: 2310502.0 num_examples: 318 - name: train_9 num_bytes: 2408033.0 num_examples: 327 download_size: 23031421 dataset_size: 23785597.0 configs: - config_name: default data_files: - split: train_0 path: data/train_0-* - split: train_1 path: data/train_1-* - split: train_2 path: data/train_2-* - split: train_3 path: data/train_3-* - split: train_4 path: data/train_4-* - split: train_5 path: data/train_5-* - split: train_6 path: data/train_6-* - split: train_7 path: data/train_7-* - split: train_8 path: data/train_8-* - split: train_9 path: data/train_9-* ---

Cordmail/reddit-ProgrammerHumor-test

Cordmail

--- license: apache-2.0 ---

bizb0630/hamza_1.0

bizb0630

--- license: mit task_categories: - translation language: - uz - ru pretty_name: uzbek-russian_parallel_corpora --- # Hamza - Uzbek-Russian parallel corpora. ## Overview **Hamza** is a parallel corpus containing over 15,000 aligned sentences in Uzbek and Russian. ## Creation Created using [lingtrain](https://github.com/averkij/lingtrain-aligner). Text mined from different websites and telegram channels. ### Format The dataset is presented in TMX (Translation Memory eXchange).

Tristepin/quakec-raw1

Tristepin

--- license: mit ---

tyang816/GO_BP_AlphaFold2

tyang816

--- license: apache-2.0 task_categories: - text-classification tags: - protein - downstream task --- # GO-BP Dataset with AlphaFold2 Structural Sequence - Description: Biological Process of Gene Ontology (GO) project. - Number of labels: 1943 - Problem Type: multi_label_classification - Columns: - aa_seq: protein amino acid sequence - foldseek_seq: foldseek 20 3di structural sequence - ss8_seq: DSSP 8 secondary structure sequence # Github Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models https://github.com/tyang816/SES-Adapter # Citation Please cite our work if you use our dataset. ``` @article{tan2024ses-adapter, title={Simple, Efficient, and Scalable Structure-Aware Adapter Boosts Protein Language Models}, author={Tan, Yang and Li, Mingchen and Zhou, Bingxin and Zhong, Bozitao and Zheng, Lirong and Tan, Pan and Zhou, Ziyi and Yu, Huiqun and Fan, Guisheng and Hong, Liang}, journal={Journal of Chemical Information and Modeling}, year={2024}, publisher={ACS Publications} } ```

Calia/grounding-emt-75

Calia

--- dataset_info: features: - name: chosen dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 32306 num_examples: 25 download_size: 20542 dataset_size: 32306 configs: - config_name: default data_files: - split: train path: data/train-* ---

Alwaly/parler_tts

Alwaly

--- dataset_info: features: - name: text dtype: string - name: transcription_normalised dtype: string - name: utterance_pitch_mean dtype: float32 - name: utterance_pitch_std dtype: float32 - name: snr dtype: float64 - name: c50 dtype: float64 - name: speaking_rate dtype: float64 - name: phonemes dtype: string - name: stoi dtype: float64 - name: si-sdr dtype: float64 - name: pesq dtype: float64 splits: - name: train num_bytes: 5029359 num_examples: 29949 download_size: 4129201 dataset_size: 5029359 configs: - config_name: default data_files: - split: train path: data/train-* ---

nexaai2b/perry_lora_function_call_training_data

nexaai2b

--- dataset_info: features: - name: query dtype: string - name: function dtype: string splits: - name: train num_bytes: 253506.0 num_examples: 3008 download_size: 75680 dataset_size: 253506.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

rock-z/it_copying_gen_OLMo-1B_arxiv

rock-z

--- dataset_info: features: - name: original_idx dtype: int64 - name: prompt dtype: string - name: gt_completion dtype: string - name: generated_text dtype: string splits: - name: train num_bytes: 23655750 num_examples: 500 download_size: 11571141 dataset_size: 23655750 configs: - config_name: default data_files: - split: train path: data/train-* ---

Turbo-AI/train-multi-negatives

Turbo-AI

--- dataset_info: features: - name: id dtype: int64 - name: text dtype: string - name: relevant list: - name: id dtype: int64 - name: text dtype: string - name: not_relevant list: - name: id dtype: int64 - name: text dtype: string splits: - name: train num_bytes: 1185738302 num_examples: 118952 download_size: 392995499 dataset_size: 1185738302 configs: - config_name: default data_files: - split: train path: data/train-* ---

forgetfulSong/F990_Religious_Orgs_Curated

forgetfulSong

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: prompt dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 753216.0 num_examples: 360 - name: validation num_bytes: 188304.0 num_examples: 90 download_size: 314886 dataset_size: 941520.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

vietdata/stackexchange

vietdata

--- dataset_info: features: - name: query dtype: string - name: positive dtype: string - name: negatives sequence: string splits: - name: train num_bytes: 377766430 num_examples: 100000 download_size: 203431424 dataset_size: 377766430 configs: - config_name: default data_files: - split: train path: data/train-* ---

Sarim-Hash/Painpoint

Sarim-Hash

--- license: llama3.2 ---

Rudra-ai/ai-responses-dataset-code-go-v4-70b

Rudra-ai

--- dataset_info: features: - name: query dtype: string - name: response dtype: string - name: text dtype: string splits: - name: train num_bytes: 595528 num_examples: 200 download_size: 248912 dataset_size: 595528 configs: - config_name: default data_files: - split: train path: data/train-* ---

data-is-better-together/image_preferences_results

data-is-better-together

--- size_categories: n<1K tags: - rlfh - argilla - human-feedback --- # Dataset Card for image_preferences_results This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets). ## Using this dataset with Argilla To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code: ```python import argilla as rg ds = rg.Dataset.from_hub("DIBT/image_preferences_results") ``` This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation. ## Using this dataset with `datasets` To load the records of this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code: ```python from datasets import load_dataset ds = load_dataset("DIBT/image_preferences_results") ``` This will only load the records of the dataset, but not the Argilla settings. ## Dataset Structure This dataset repo contains: * Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `rg.Dataset.from_hub` and can be loaded independently using the `datasets` library via `load_dataset`. * The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla. * A dataset configuration folder conforming to the Argilla dataset format in `.argilla`. The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**. ### Fields The **fields** are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset. | Field Name | Title | Type | Required | Markdown | | ---------- | ----- | ---- | -------- | -------- | | images | images | custom | True | | ### Questions The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking. | Question Name | Title | Type | Required | Description | Values/Labels | | ------------- | ----- | ---- | -------- | ----------- | ------------- | | preference | preference | label_selection | True | Which image do you prefer given the prompt? | ['image_1', 'image_2', 'both_good', 'both_bad'] | <!-- check length of metadata properties --> ### Data Instances An example of a dataset instance in Argilla looks as follows: ```json { "_server_id": "30403740-6a5e-48d7-839e-dcea7ad0dfda", "fields": { "images": { "image_1": "https://huggingface.co/datasets/DIBT/img_prefs_style/resolve/main/artifacts/image_generation_0/images/b172c7078a07c159f5f8da7bd1220ddd.jpeg", "image_2": "https://huggingface.co/datasets/DIBT/img_prefs_style/resolve/main/artifacts/image_generation_2/images/b172c7078a07c159f5f8da7bd1220ddd.jpeg", "prompt": "8-bit intellect, pixelated wisdom, retro digital brain, vintage game insight, soft neon glow, intricate pixel art, vibrant color palette, nostalgic ambiance" } }, "id": "f5224be1-2e1b-428e-94b1-9c0f397092fa", "metadata": { "category": "Animation", "evolution": "quality", "model_1": "schnell", "model_2": "dev", "sub_category": "Pixel Art" }, "responses": { "preference": [ { "user_id": "c53e62ab-d792-4854-98f6-593b2ffb55bc", "value": "image_2" }, { "user_id": "b1ab2cdd-29b8-4cf9-b6e0-7543589d21a3", "value": "image_2" }, { "user_id": "da3e5871-920c-44da-8c44-1e94260c581e", "value": "both_good" }, { "user_id": "b31dd1ed-78b6-4d50-8f11-7ce32ba17d64", "value": "image_2" }, { "user_id": "6b984f66-86b3-421e-a32c-cd3592ee27a1", "value": "both_bad" } ] }, "status": "completed", "suggestions": {}, "vectors": {} } ``` While the same record in HuggingFace `datasets` looks as follows: ```json { "_server_id": "30403740-6a5e-48d7-839e-dcea7ad0dfda", "category": "Animation", "evolution": "quality", "id": "f5224be1-2e1b-428e-94b1-9c0f397092fa", "images": { "image_1": "https://huggingface.co/datasets/DIBT/img_prefs_style/resolve/main/artifacts/image_generation_0/images/b172c7078a07c159f5f8da7bd1220ddd.jpeg", "image_2": "https://huggingface.co/datasets/DIBT/img_prefs_style/resolve/main/artifacts/image_generation_2/images/b172c7078a07c159f5f8da7bd1220ddd.jpeg", "prompt": "8-bit intellect, pixelated wisdom, retro digital brain, vintage game insight, soft neon glow, intricate pixel art, vibrant color palette, nostalgic ambiance" }, "model_1": "schnell", "model_2": "dev", "preference.responses": [ "image_2", "image_2", "both_good", "image_2", "both_bad" ], "preference.responses.status": [ "submitted", "submitted", "submitted", "submitted", "submitted" ], "preference.responses.users": [ "c53e62ab-d792-4854-98f6-593b2ffb55bc", "b1ab2cdd-29b8-4cf9-b6e0-7543589d21a3", "da3e5871-920c-44da-8c44-1e94260c581e", "b31dd1ed-78b6-4d50-8f11-7ce32ba17d64", "6b984f66-86b3-421e-a32c-cd3592ee27a1" ], "status": "completed", "sub_category": "Pixel Art" } ``` ### Data Splits The dataset contains a single split, which is `train`. ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation guidelines [More Information Needed] #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]

presencesw/data_remove_v0_mae

presencesw

--- dataset_info: features: - name: image dtype: string - name: mask dtype: image splits: - name: train num_bytes: 471171011.15 num_examples: 8255 download_size: 232210348 dataset_size: 471171011.15 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "data_remove_v1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

manueltonneau/hateday

manueltonneau

--- task_categories: - text-classification language: - en - fr - es - de - pt - id - ar - tr - ha - yo - ig - sw - pcm tags: - hate speech size_categories: - 100K<n<1M extra_gated_prompt: >- You agree to not use the dataset to conduct any activity that causes harm to human subjects. extra_gated_fields: Please provide more information on why you need this dataset and how you plan to use it: type: text --- # HateDay This dataset consists of twelve representative sets of Twitter annotated for hate speech detection for eight languages and four countries. Each representative set corresponds to a language or country and consists of 20,000 tweets randomly sampled from all tweets posted on September 21, 2022 in that language or country, for a total of 240K annotated tweets. We cover eight languages (Arabic, English, French, German, Indonesian, Portuguese, Spanish and Turkish) and four countries where English is the main language on Twitter (United States, India, Nigeria, Kenya). Each tweet is labeled as hateful, offensive or neutral by three human annotators and the final label is determined by majority vote. In case the tweet is marked as hateful, the target of hate is also indicated. The dataset and annotation process are presented in more details in [the corresponding paper](https://arxiv.org/abs/2411.15462). ## Data access and intended use Please send an access request detailing how you plan to use the data. The main purpose of this dataset is to evaluate hate speech detection models, as well as study hateful discourse online. This dataset is NOT intended to train generative LLMs to produce hateful content. ## Columns The dataset contains six columns: - `tweet_id`: the ID the of the tweet - `text`: the text of the tweet - `class`: the label of the tweet (2 if hateful, 1 if offensive and 0 if neutral) - `hate_target`: the target of hate in case the tweet is hateful - `lang_country`: the language or country of interest ## Preprocessing We replace all usernames and links by fixed tokens to maximize user privacy. ## Citation Please cite our [paper](https://arxiv.org/abs/2411.15462) if you use this dataset. ``` @misc{tonneau2024hatedayinsightsglobalhate, title={HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter}, author={Manuel Tonneau and Diyi Liu and Niyati Malhotra and Scott A. Hale and Samuel P. Fraiberger and Victor Orozco-Olvera and Paul Röttger}, year={2024}, eprint={2411.15462}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2411.15462}, } ```

supergoose/buzz_sources_299_logtalk

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 40389 num_examples: 21 download_size: 12233 dataset_size: 40389 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_300_turtle

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 30861 num_examples: 21 download_size: 16795 dataset_size: 30861 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_303_chapel

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 22345 num_examples: 20 download_size: 13928 dataset_size: 22345 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_304_digital-command-language

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 24052 num_examples: 19 download_size: 10870 dataset_size: 24052 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_307_logos

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 19496 num_examples: 19 download_size: 13054 dataset_size: 19496 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_308_applescript

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 28089 num_examples: 19 download_size: 15208 dataset_size: 28089 configs: - config_name: default data_files: - split: train path: data/train-* ---

enjalot/ls-squad

enjalot

--- tags: - latent-scope --- # ls-squad This dataset contains the files necessary to view in [latentscope](https://github.com/enjalot/latent-scope). The files in the `latentscope` are used by the app to view. You can also preview the scope TODO Total size of dataset files: 388.9 MB TODO: download script inside latentscope

Turbo-AI/train-multi-negatives-v2

Turbo-AI

--- dataset_info: features: - name: id dtype: int64 - name: text dtype: string - name: relevant list: - name: id dtype: int64 - name: text dtype: string - name: not_relevant list: - name: id dtype: int64 - name: text dtype: string splits: - name: train num_bytes: 918366297 num_examples: 118956 download_size: 321049144 dataset_size: 918366297 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_309_http

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 12895 num_examples: 18 download_size: 9176 dataset_size: 12895 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_310_vcl

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 17417 num_examples: 17 download_size: 9936 dataset_size: 17417 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_311_gnuplot

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 16842 num_examples: 17 download_size: 13146 dataset_size: 16842 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_312_graphql

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 17330 num_examples: 17 download_size: 15472 dataset_size: 17330 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_313_dm

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 20212 num_examples: 16 download_size: 13375 dataset_size: 20212 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_314_pony

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 28526 num_examples: 16 download_size: 15307 dataset_size: 28526 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_315_inno-setup

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 30697 num_examples: 15 download_size: 12381 dataset_size: 30697 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_316_modelica

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 22237 num_examples: 15 download_size: 14926 dataset_size: 22237 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_317_autohotkey

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 14120 num_examples: 15 download_size: 9449 dataset_size: 14120 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_320_gentoo-ebuild

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 19456 num_examples: 15 download_size: 10337 dataset_size: 19456 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_322_antlr

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 21640 num_examples: 15 download_size: 14750 dataset_size: 21640 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_326_piglatin

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 14515 num_examples: 11 download_size: 11818 dataset_size: 14515 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_327_hy

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 16175 num_examples: 11 download_size: 9472 dataset_size: 16175 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_328_moonscript

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 15039 num_examples: 10 download_size: 16921 dataset_size: 15039 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_331_capn-proto

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 11080 num_examples: 10 download_size: 8354 dataset_size: 11080 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_333_volt

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 12320 num_examples: 9 download_size: 10127 dataset_size: 12320 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_334_raml

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 17681 num_examples: 9 download_size: 9276 dataset_size: 17681 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_335_coldfusion

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 12215 num_examples: 9 download_size: 13630 dataset_size: 12215 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_341_oz

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 13220 num_examples: 7 download_size: 13531 dataset_size: 13220 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_343_nesc

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 5674 num_examples: 7 download_size: 5597 dataset_size: 5674 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_344_aspectj

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 12588 num_examples: 7 download_size: 7612 dataset_size: 12588 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_345_literate-haskell

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 9155 num_examples: 7 download_size: 10871 dataset_size: 9155 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_346_latte

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 9401 num_examples: 7 download_size: 7115 dataset_size: 9401 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_347_xs

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 9233 num_examples: 7 download_size: 8639 dataset_size: 9233 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_348_emberscript

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 9302 num_examples: 7 download_size: 9934 dataset_size: 9302 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_349_webidl

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 10616 num_examples: 6 download_size: 10232 dataset_size: 10616 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_350_yang

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 15051 num_examples: 6 download_size: 12191 dataset_size: 15051 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_351_pike

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 8273 num_examples: 6 download_size: 9327 dataset_size: 8273 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_353_ston

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 5022 num_examples: 6 download_size: 4125 dataset_size: 5022 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_355_lilypond

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 4744 num_examples: 6 download_size: 5691 dataset_size: 4744 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_356_jsonld

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 6593 num_examples: 6 download_size: 7543 dataset_size: 6593 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_357_vhdl

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 8671 num_examples: 5 download_size: 10056 dataset_size: 8671 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_361_monkey

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 9257 num_examples: 4 download_size: 4748 dataset_size: 9257 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_362_zephir

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 5197 num_examples: 4 download_size: 6980 dataset_size: 5197 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_363_ragel-in-ruby-host

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 5831 num_examples: 4 download_size: 10651 dataset_size: 5831 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_364_slash

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 3684 num_examples: 4 download_size: 4753 dataset_size: 3684 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_365_metal

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 6784 num_examples: 4 download_size: 7246 dataset_size: 6784 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_366_zig

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 6144 num_examples: 4 download_size: 8275 dataset_size: 6144 configs: - config_name: default data_files: - split: train path: data/train-* ---